Deep Reinforcement Learning for Fluid Dynamics and Control
Reinforcement learning based on deep learning is currently being used for impressive control of fluid dynamic systems. This video will describe recent advances, including for mimicking the behavior of birds and fish, for turbulence closure modeling with sub-grid-scale models, and for robotic flight demonstrations.
@eigensteve on Twitter
Links to papers in video:
@3:58 Machine learning for fluid mechanics
Brunton, Noack, Koumoutsakos, Ann. Rev. Fluid Mech 52:477--508, 2020
@5:04 Efficient collective swimming by harnessing vortices through deep reinforcement learning
Verma, Novati, Koumoutsakos, Proc. Nat. Acad. Sci. 115(23):5849--5854, 2018
@6:57 Automating turbulence modelling by multi-agent reinforcement learning
Novati, Lascombes de Laroussilhe, Koumoutsakos, Nat. Mach. Int. 3:87--96, 2021
@8:47 A review
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